Forward Deployed Engineer

Tranzeal, Inc.
United States
28 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Business Logic BigQuery Cipher Cloud Computing Cloud Storage Code Review Continuous Integration Information Engineering Data Governance Data Integration
+19 more
Distributed Computing Environment Data Flow Control Identity and Access Management Python (Programming Language) Azure Machine Learning Software Engineering SQL Databases Data Streaming TypeScript Google Cloud Large Language Models Pandas Build Management Pyspark Git Flow Google Cloud Functions Data Analytics Machine Learning Operations Data Pipelines

Job description

Seeking a Senior Forward Deployed Engineer to lead the design, development, and deployment of enterprise-scale data, analytics, and AI solutions using Palantir Foundry. This role combines hands-on engineering, solution architecture, customer engagement, and technical leadership to deliver high-impact operational and data-driven outcomes., Solution Architecture & Engineering

  • Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry.
  • Develop scalable data transformations using Python, SQL, PySpark, Pandas, Polars, DuckDB, and Java.
  • Architect and maintain Foundry Ontology components, including Object Types, Link Types, Action Types, Interfaces, and Functions.
  • Build and deploy Workshop applications, OSDK-based applications, and custom operational workflows.
  • Develop server-side business logic using TypeScript and Python Functions.
  • Implement enterprise data governance, security controls, permissions, restricted views, and role-based access management.
  • Design and deploy AI-powered solutions including AIP Logic, AIP Agents, RAG pipelines, and LLM-enabled workflows.

Deployment & Stakeholder Engagement

  • Serve as the primary technical lead for complex customer engagements.
  • Translate business requirements into scalable platform solutions.
  • Own projects through architecture, development, testing, deployment, and operationalization.
  • Drive user adoption by delivering reliable, production-grade solutions.
  • Collaborate with executives, business stakeholders, analysts, and engineering teams.

Technical Leadership

  • Mentor engineers through code reviews, architecture guidance, and best practices.
  • Establish standards for branching strategies, CI/CD, testing, and pipeline design.
  • Lead knowledge-sharing initiatives and technical enablement sessions.
  • Contribute to platform innovation, internal tooling, and engineering best practices.

Requirements

  • Candidates must be authorized to work in the United States., * 8+ years of software engineering, data engineering, or technical consulting experience.
  • 2+ years of hands-on Palantir Foundry experience.
  • Strong expertise in Python, SQL, and distributed data processing technologies.
  • Deep understanding of Foundry Ontology, data pipelines, and application development.
  • Experience building production-scale batch and streaming data solutions.
  • Experience with Workshop and/or OSDK application development.
  • Strong communication and stakeholder management skills.
  • Experience with Google Cloud Platform (Google Cloud Platform), including BigQuery, Dataflow, Pub/Sub, Cloud Functions, and IAM.
  • Experience with AI/ML platforms, LLM-powered applications, RAG architectures, and model deployment.
  • Knowledge of data governance, ABAC, HIPAA-compliant environments, and enterprise security frameworks.
  • Experience leading teams of 3+ engineers.
  • Healthcare, clinical operations, or revenue cycle experience preferred.

Technical Skills

Languages: Python, SQL, TypeScript, Java

Data Engineering: PySpark, Pandas, Polars, DuckDB, Pipeline Builder, Incremental Pipelines

Palantir Foundry: Ontology, Workshop, OSDK, Functions, Data Connections, Syncs, Actions

Cloud: Google Cloud Platform, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions

AI/ML: AIP Logic, AIP Agents, Model Studio, LLM Functions, Evaluation Frameworks, RAG

Security & Governance: Permissions, Restricted Views, Markings, ABAC, Cipher, HIPAA Compliance

Infrastructure: Batch & Streaming Pipelines, CDC, Scheduling, Data Connectors, Cloud Networking

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

6:58 min

Analyzing production code coverage data using pandas

Markus Harrer Markus Harrer · World Congress 2021

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

Videos

See all

Related articles

See all